The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Wenny Rahayu sits on this spectrum.
This scientist: 323 publications — 78th percentile
78% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Wenny Rahayu sits on this spectrum.
This scientist: 40 D-Index — 37th percentile
37% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Wenny Rahayu is a researcher affiliated with La Trobe University in Australia, specializing primarily in computer science. Their research spans multiple subfields including computer networks and communications, artificial intelligence, information systems, signal processing, and industrial and manufacturing engineering. The main focus areas encompass advanced database systems and queries, data management and algorithms, as well as IoT and edge/fog computing.
Their scientific contributions have been published predominantly in venues such as the IEEE Internet of Things Journal, the SSRN Electronic Journal, IEEE Transactions on Industrial Informatics, Computers & Security, and Future Generation Computer Systems. The frequency of publications indicates sustained engagement with themes around IoT, industrial informatics, and security.
Among their recent publications are:
Wenny Rahayu's coauthor network includes collaborations with David Taniar, A. S. M. Kayes, Eric Pardede, Tharam S. Dillon, and Yuehua Liu, highlighting an interdisciplinary and collaborative research environment. These coauthors have contributed to advancements in computer science fields associated with networked systems, data analysis, and IoT technologies.
In addition to journal articles, Rahayu has contributed to book literature, including a publication titled Data Warehousing and Analytics in 2021, released by Springer International Publishing. This reflects an engagement with data-intensive research and analytics frameworks supporting business intelligence and database management.
Main topics covered in their research work include:
Overall, Wenny Rahayu's research contributions address challenges and developments related to the integration of machine learning, privacy, and industrial IoT environments, with a notable focus on fault detection, data imputation, and smart factory monitoring.
Niroshinie Fernando;Seng W. Loke;Wenny Rahayu
Bo Liu;Ming Ding;Sina Shaham;Wenny Rahayu
Wenjin Yu;Tharam Dillon;Fahed Mostafa;Wenny Rahayu
David Taniar;Clement H. C. Leung;Wenny Rahayu;Sushant Goel
Matthias Langer;Zhen He;Wenny Rahayu;Yanbo Xue
Niroshinie Fernando;Seng W. Loke;Wenny Rahayu
Geng Zhao;Kefeng Xuan;Wenny Rahayu;David Taniar
Agustinus Borgy Waluyo;Wenny Rahayu;David Taniar;Bala Scrinivasan
Niroshinie Fernando;Seng W. Loke;Wenny Rahayu
Yuehua Liu;Tharam Dillon;Wenjin Yu;Wenny Rahayu
Vicky Nassis;R. Rajugan;Tharam S. Dillon;Wenny Rahayu
Laura Irina Rusu;J. Wenny Rahayu;David Taniar
David Taniar;J. Wenny Rahayu;Vincent C. S. Lee;Olena Daly
Kefeng Xuan;Geng Zhao;David Taniar;Wenny Rahayu
Bo Liu;Ming Ding;Sina Shaham;Wenny Rahayu
David Taniar;J. Wenny Rahayu
Yuehua Liu;Wenjin Yu;Tharam Dillon;Wenny Rahayu
Wenjin Yu;Yuehua Liu;Tharam Dillon;Wenny Rahayu
Agustinus Borgy Waluyo;David Taniar;Wenny Rahayu;Ailixier Aikebaier
Mehul Bhatt;Carlo Wouters;Andrew Flahive;J. Wenny Rahayu
M. Bhatt;A. Flahive;C. Wouters;W. Rahayu
Mehul Bhatt;Wenny Rahayu;Sury Prakash Soni;Carlo Wouters
Dennis Wollersheim;Anny Sari;Wenny Rahayu
David Taniar;J. Wenny Rahayu
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